Data Scientist - Generative AI Specialist

Data Scientist - Generative AI Specialist

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Location:

About Celsior Technologies

digital transformation

Job Overview

Data Scientist - Generative AI Specialist

Key Responsibilities

AI Solution Development

• Contribute to the

  design and implementation of state-of-the-art AI solutions

  , specifically leveraging Generative AI and LLM techniques.
• Assist in the

  development and implementation of AI models and systems

  , focusing on advanced models like LLMs and generative architectures.
• Utilize generative AI techniques, such as LLMs, to

  develop innovative solutions for enterprise industry use cases

  .

Technical Implementation & Optimization

• Integrate with relevant APIs and libraries

  , such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and

  optimize end-to-end pipelines for generative AI projects

  , ensuring seamless data processing, model training, and deployment.
• Utilize

  vector databases

  , such as Redis, and

  NoSQL databases

  to efficiently handle large-scale generative AI datasets and outputs.
• Implement

  similarity search algorithms and techniques

  to enable efficient and accurate retrieval of relevant information from generative AI outputs (e.g., RAG systems).
• Leverage

  data engineering skills

  to curate, clean, and preprocess large-scale datasets for generative AI applications.

Research & Strategy

• Stay updated with the

  latest advancements in generative AI techniques

  , such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Conduct

  research and evaluation of advanced AI techniques

  , including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.

Collaboration, Evaluation & Ethics

• Collaborate with stakeholders to

  identify business opportunities and define AI project goals

  .
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and

  tailor generative AI solutions accordingly

  .
• Establish

  evaluation metrics and methodologies

  to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure

  compliance with data privacy, security, and ethical considerations

  in all AI applications.

Qualifications

Education & Experience

• B.E/M. Tech degree

  in Data Science, Computer Science, or a related quantitative field.
• Minimum

  3 years of experience

  in data analysis, machine learning, and user experience optimization, preferably within the mobile technology or a related digital industry.

Technical Skills

• Proficiency in data mining, statistical analysis, and machine learning techniques

  , with hands-on experience in

  Python

  (essential) or R, or similar programming languages.

• Strong understanding of Natural Language Processing (NLP)

  and language understanding models, with experience in training and deploying machine learning models for text analysis and interpretation.
• Practical experience with

  Large Language Models (LLMs)

  and

  Generative AI

  concepts and implementation.
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and MLOps principles.
• Working knowledge of

  SQL

  and distributed computing frameworks (e.g., Spark) is a plus.

Soft Skills

• Excellent

  problem-solving and analytical skills

  , with the ability to derive actionable insights from complex datasets and translate them into practical solutions for improving user experiences.
• Effective

  communication and collaboration skills

  , with the ability to work closely with cross-functional teams and clients to implement data-driven solutions and drive continuous improvement.